Position: Data Analyst
Company: Cognizant
Location: Bangalore, India
Job type: Full-time
Job mode: Hybrid
Job requisition id: 00069824501
Years of experience: 0 to 3 years
Company description
Cognizant (Nasdaq: CTSH) stands as an elite global AI builder and premier technology services provider operating across international boundaries.
The organization bridges the gap between major enterprise AI investments and real-world implementation by constructing full-stack artificial intelligence solutions.
Utilizing deep industry experience, specialized process knowledge, and advanced software engineering capabilities, Cognizant embeds enterprise context into modernized technology systems.
The company's core mission centers on amplifying human potential, driving tangible financial outcomes, and helping global corporations navigate fast-changing market landscapes.
Operating with a global workforce exceeding 350,000 professionals, Cognizant delivers transformative technological solutions to world-renowned brand-name clients.
The organization champions a human-centric culture prioritizing continuous employee learning, flexible work arrangements, robust career mobility, and comprehensive personal well-being.
Through dedicated platforms like cognizant.ai, the company continuous to redefine digital analytics, cloud migration, and intelligent workplace automation.
Cognizant fosters an inclusive ecosystem where diverse perspectives spark technological innovations that deliver measurable real-world benefits.
Employees benefit from extensive internal skill development programs, client shadowing opportunities, and structured global mentorship networks.
The company maintains strict ethical standards, commitment to sustainable operations, and strong community engagement initiatives across all active markets worldwide.
Profile overview
The Data Analyst position at Cognizant is an entry-level analytical role centered on transforming complex corporate datasets into clear, actionable business strategies.
Operating within a dynamic hybrid work environment, the successful candidate will work seamlessly across both remote digital channels and the Bangalore office location.
The primary responsibility of this role is conducting thorough exploratory data analysis (EDA) to expose hidden market trends, operational bottlenecks, and efficiency opportunities.
Professionals in this role design and implement automated data reporting systems, replacing labor-intensive manual compilation procedures with streamlined technical workflows.
The analyst constructs custom Python data models capable of standardizing complex metrics, establishing data consistency, and delivering accurate predictive analytics for business units.
Work involves creating interactive data visual displays and executive dashboards using modern business intelligence platforms such as Tableau and Power BI.
Candidates will build specialized Microsoft Excel workbooks featuring automated VBA macros to enhance task speed and eliminate human error in regular reporting cycles.
The position requires close daily collaboration with cross-functional operational teams to translate ambiguous business questions into concrete mathematical inquiries.
Analysts establish rigorous data quality check protocols to validate incoming data pipelines, reconcile numerical discrepancies, and protect organizational integrity.
Responsibilities extend to authoring step-by-step documentation detailing underlying analytical logic, operational assumptions, data sources, and business rules.
The professional performs scenario planning and what-if sensitivity simulations to evaluate strategic risks prior to high-stakes management investments.
The analyst applies industry essential standards to benchmark internal performance outputs against broader corporate market dynamics and compliance requirements.
The role supports enterprise governance guidelines by practicing strict data security, user privacy management, and ethical information handling.
Analysts actively participate in knowledge-sharing sessions, helping mentor junior teammates and elevating overall analytical capability across the organizational ecosystem.
Qualifications
Possess strong foundational expertise and practical proficiency in Python for complex dataset manipulation, statistical modeling, and data extraction tasks.
Demonstrate advanced proficiency in Microsoft Excel, including high-level capabilities in constructing complex formulas, nested logical statements, and conditional formatting rules.
Exhibit hands-on experience in Excel Visual Basic for Applications (VBA) programming to design automated macros, customized user templates, and automated file workflows.
Show strong capabilities in building dynamic, user-friendly business intelligence dashboards and visual reports using Tableau software tools.
Demonstrate direct experience utilizing Microsoft Power BI to connect diverse data repositories, build data models, and deliver visual summaries.
Display a comprehensive understanding of exploratory data analysis methods, including statistical profiling, variable correlation, anomaly detection, and data cleansings.
Possess foundational knowledge in data pipeline structuring, database management concepts, and automated workflow optimization techniques.
Demonstrate domain awareness regarding industry essential metrics, financial reporting frameworks, standard performance KPIs, and commercial market dynamics.
Exhibit the capability to interpret high-volume technical data outputs and communicate findings effectively to non-technical operational stakeholders.
Show proficiency in using modern collaborative enterprise software, enabling smooth asynchronous communication in a hybrid onsite and remote work arrangement.
Demonstrate analytical trouble-shooting skills to systematically identify data gaps, source errors, and numerical reconciliation issues across legacy workflows.
Exhibit strong organizational skills to manage multiple analytical projects simultaneously while maintaining high accuracy and adhering to project deadlines.
Show an academic background in Computer Science, Data Science, Information Technology, Business Analytics, Statistics, Engineering, or a related quantitative subject.
Possess strong written and verbal English communication abilities, allowing seamless documentation authoring and interactive team presentation contributions.
Demonstrate an eager learning posture and willingness to acquire new technological tools, domain methodologies, and corporate best practices rapidly.
Additional info
This position features a competitive, performance-oriented compensation structure with an estimated salary range between ₹8 LPA to ₹12 LPA depending on candidate expertise.
The work model is structured as a flexible Hybrid format based out of the Cognizant technology office facility in Bangalore, India.
Candidates joining Cognizant gain direct access to one of the industry's most expansive learning ecosystems, complete with sponsored technical certifications and learning platforms.
The hiring journey comprises four structured stages: initial application, recruiter discovery connection, technical/hiring team assessment interviews, and final candidate evaluation.
Physical state or government-issued identity documents may be requested from candidates at various interview checkpoints to fulfill identity verification standards.
Cognizant enforces a strict Equal Opportunity Employer policy, evaluating all applicants regardless of race, color, religion, sex, national origin, disability, or protected status.
Disability accommodation requests during the application phase are actively supported; candidate help can be requested directly through designated recruitment channels.
Employees enjoy a comprehensive wellness suite covering financial planning tools, competitive retirement programs, full health insurance, and confidential mental health allyship services.
The company offers extensive global mobility opportunities, permitting internal talent to explore diverse roles across 350,000+ internal career pathways globally.
Day-to-day operations are generally conducted during regular day shift hours, aligned with regional business requirements and project specifications.
Candidates will work alongside leading global clients across major commercial verticals, delivering scalable technology solutions that impact millions of end-users worldwide.
The analytical group fosters a collaborative community culture, prioritizing inclusive team building, peer-to-peer mentoring, and public celebration of individual contributions.
Successful applicants join an established environment that balances fast-paced software innovation with ethical corporate governance and workplace sustainability guidelines.
Continuous hands-on exposure to cutting-edge cloud infrastructure, predictive analytics tools, and AI solutions ensures long-term career growth potential.
Please click here to apply.
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